Simple non-autonomous controllable multi-scroll neuron circuit
The invention relates to the technical field of neuron circuits, in particular to a simple non-autonomous controllable multi-scroll neuron circuit, which comprises a power supply module, a neuron module, a taboo learning module and a sine function module, and is characterized in that the power suppl...
Gespeichert in:
| Hauptverfasser: | , , , , |
|---|---|
| Format: | Patent |
| Sprache: | chi ; eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | |
| creator | BAO HAN BAO BOCHENG WANG YITENG CAI JIANMING DING RUOYU |
| description | The invention relates to the technical field of neuron circuits, in particular to a simple non-autonomous controllable multi-scroll neuron circuit, which comprises a power supply module, a neuron module, a taboo learning module and a sine function module, and is characterized in that the power supply module is electrically connected with the neuron module, the sine function module and the taboo learning module in sequence; through adjusting resistance parameter values of the neuron module and the sine function module, autonomous controllable multi-scroll neuron discharge is realized. According to the method, rich dynamic characteristics are displayed through parameter adjustment, which plays a role in promoting the development of artificial intelligence and neural networks thereof; compared with a digital circuit, the implementation cost of an analog circuit is lower.
本发明涉及神经元电路技术领域，尤其涉及一种简单非自治可控多涡卷的神经元电路，包括电源模块、神经元模块、禁忌学习模块和正弦函数模块，电源模块依次与神经元模块、正弦函数模块和禁忌学习模块电性连接，通过调节神经元模块和正弦函数模块电阻参数值，实现自治可控多涡卷神经元放电。本发明通过参数调节， |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN115526303A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN115526303A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN115526303A3</originalsourceid><addsrcrecordid>eNrjZLALzswtyElVyMvP000sLcnPy8_NLy1WSM7PKynKz8lJTALK5ZbmlGTqFieDBBTyUkuL8vMUkjOLkkszS3gYWNMSc4pTeaE0N4Oim2uIs4duakF-fGpxQWJyal5qSbyzn6GhqamRmbGBsaMxMWoAws8xZw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Simple non-autonomous controllable multi-scroll neuron circuit</title><source>esp@cenet</source><creator>BAO HAN ; BAO BOCHENG ; WANG YITENG ; CAI JIANMING ; DING RUOYU</creator><creatorcontrib>BAO HAN ; BAO BOCHENG ; WANG YITENG ; CAI JIANMING ; DING RUOYU</creatorcontrib><description>The invention relates to the technical field of neuron circuits, in particular to a simple non-autonomous controllable multi-scroll neuron circuit, which comprises a power supply module, a neuron module, a taboo learning module and a sine function module, and is characterized in that the power supply module is electrically connected with the neuron module, the sine function module and the taboo learning module in sequence; through adjusting resistance parameter values of the neuron module and the sine function module, autonomous controllable multi-scroll neuron discharge is realized. According to the method, rich dynamic characteristics are displayed through parameter adjustment, which plays a role in promoting the development of artificial intelligence and neural networks thereof; compared with a digital circuit, the implementation cost of an analog circuit is lower.
本发明涉及神经元电路技术领域，尤其涉及一种简单非自治可控多涡卷的神经元电路，包括电源模块、神经元模块、禁忌学习模块和正弦函数模块，电源模块依次与神经元模块、正弦函数模块和禁忌学习模块电性连接，通过调节神经元模块和正弦函数模块电阻参数值，实现自治可控多涡卷神经元放电。本发明通过参数调节，</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; PHYSICS</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20221227&DB=EPODOC&CC=CN&NR=115526303A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20221227&DB=EPODOC&CC=CN&NR=115526303A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>BAO HAN</creatorcontrib><creatorcontrib>BAO BOCHENG</creatorcontrib><creatorcontrib>WANG YITENG</creatorcontrib><creatorcontrib>CAI JIANMING</creatorcontrib><creatorcontrib>DING RUOYU</creatorcontrib><title>Simple non-autonomous controllable multi-scroll neuron circuit</title><description>The invention relates to the technical field of neuron circuits, in particular to a simple non-autonomous controllable multi-scroll neuron circuit, which comprises a power supply module, a neuron module, a taboo learning module and a sine function module, and is characterized in that the power supply module is electrically connected with the neuron module, the sine function module and the taboo learning module in sequence; through adjusting resistance parameter values of the neuron module and the sine function module, autonomous controllable multi-scroll neuron discharge is realized. According to the method, rich dynamic characteristics are displayed through parameter adjustment, which plays a role in promoting the development of artificial intelligence and neural networks thereof; compared with a digital circuit, the implementation cost of an analog circuit is lower.
本发明涉及神经元电路技术领域，尤其涉及一种简单非自治可控多涡卷的神经元电路，包括电源模块、神经元模块、禁忌学习模块和正弦函数模块，电源模块依次与神经元模块、正弦函数模块和禁忌学习模块电性连接，通过调节神经元模块和正弦函数模块电阻参数值，实现自治可控多涡卷神经元放电。本发明通过参数调节，</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLALzswtyElVyMvP000sLcnPy8_NLy1WSM7PKynKz8lJTALK5ZbmlGTqFieDBBTyUkuL8vMUkjOLkkszS3gYWNMSc4pTeaE0N4Oim2uIs4duakF-fGpxQWJyal5qSbyzn6GhqamRmbGBsaMxMWoAws8xZw</recordid><startdate>20221227</startdate><enddate>20221227</enddate><creator>BAO HAN</creator><creator>BAO BOCHENG</creator><creator>WANG YITENG</creator><creator>CAI JIANMING</creator><creator>DING RUOYU</creator><scope>EVB</scope></search><sort><creationdate>20221227</creationdate><title>Simple non-autonomous controllable multi-scroll neuron circuit</title><author>BAO HAN ; BAO BOCHENG ; WANG YITENG ; CAI JIANMING ; DING RUOYU</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN115526303A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>BAO HAN</creatorcontrib><creatorcontrib>BAO BOCHENG</creatorcontrib><creatorcontrib>WANG YITENG</creatorcontrib><creatorcontrib>CAI JIANMING</creatorcontrib><creatorcontrib>DING RUOYU</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>BAO HAN</au><au>BAO BOCHENG</au><au>WANG YITENG</au><au>CAI JIANMING</au><au>DING RUOYU</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Simple non-autonomous controllable multi-scroll neuron circuit</title><date>2022-12-27</date><risdate>2022</risdate><abstract>The invention relates to the technical field of neuron circuits, in particular to a simple non-autonomous controllable multi-scroll neuron circuit, which comprises a power supply module, a neuron module, a taboo learning module and a sine function module, and is characterized in that the power supply module is electrically connected with the neuron module, the sine function module and the taboo learning module in sequence; through adjusting resistance parameter values of the neuron module and the sine function module, autonomous controllable multi-scroll neuron discharge is realized. According to the method, rich dynamic characteristics are displayed through parameter adjustment, which plays a role in promoting the development of artificial intelligence and neural networks thereof; compared with a digital circuit, the implementation cost of an analog circuit is lower.
本发明涉及神经元电路技术领域，尤其涉及一种简单非自治可控多涡卷的神经元电路，包括电源模块、神经元模块、禁忌学习模块和正弦函数模块，电源模块依次与神经元模块、正弦函数模块和禁忌学习模块电性连接，通过调节神经元模块和正弦函数模块电阻参数值，实现自治可控多涡卷神经元放电。本发明通过参数调节，</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | chi ; eng |
| recordid | cdi_epo_espacenet_CN115526303A |
| source | esp@cenet |
| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS |
| title | Simple non-autonomous controllable multi-scroll neuron circuit |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T23%3A21%3A00IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=BAO%20HAN&rft.date=2022-12-27&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN115526303A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |